Abhishek Yadav

Software Engineer

Lucknow, Uttar Pradesh, India3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Ranked in the top 1% globally on LeetCode.
Engineered scalable backend microservices on GCP.
Designed production-grade Generative AI applications.

Stackforce AI infers this person is a Backend Engineer specializing in Generative AI applications for enterprise solutions.

Contact

yadavabhishek8781@gmail.com LinkedIn

Skills

Core Skills

Backend EngineeringGenerative AiDatabase Management

Other Skills

Python (Programming Language)Large Language Models (LLM)Artificial Intelligence (AI)LangChainPostgreSQLRetrieval-Augmented Generation (RAG)PL/SQLDatabase Management System (DBMS)Vector DatabasesModel Context Protocol (MCP)Software DesignBack-end OperationsTest-Driven DevelopmentSoftware InfrastructureData Analysis

About

I am a Software Developer at HashedIn by Deloitte with a strong focus on building scalable Backend systems and Generative AI applications. I love using Python to turn complex requirements into efficient, intelligent solutions. Here is a snapshot of my expertise: 🤖 Generative AI & LLMs I design production-grade GenAI applications that improve enterprise workflows. This includes building systems that automatically convert Business Requirement Documents (BRDs) into structured JIRA User Stories using LangChain. 🧠 RAG Pipelines I have developed high-performance Retrieval-Augmented Generation (RAG) pipelines using historical ITSM data. My systems are built to handle over 50,000+ requests per day with high accuracy. ☁️ Cloud & Backend Engineering I engineer robust microservices using FastAPI and deploy them as 24/7 cloud-native applications on Google Cloud Platform (GCP). 🚀 Performance Optimization I focus on efficiency, successfully reducing API response times by 25% and boosting overall system efficiency by 30% in previous projects. 🏆 Problem Solving I am deeply committed to writing optimized code. I am ranked in the top 1% globally on LeetCode, having solved over 600 algorithmic challenges.

Experience

3 yrs 2 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 mos

Current Experience

Hashedin by deloitte

Software Development Engineer

Feb 2026 – Present · 3 mos · Gurugram, Haryana, India · On-site

◦Built a persona-driven web application capable of ingesting Git links or zip files to perform deep structural analysis of code repositories.
◦Leveraged LangGraph and OpenAI to dynamically evaluate codebases, generating comprehensive reports on tech stacks, primary entry points, and class/function hierarchies.
◦Designed a decoupled architecture, utilizing FastAPI to handle complex GenAI orchestration and Streamlit to deliver a seamless web experience.

Python (Programming Language)Large Language Models (LLM)Backend EngineeringGenerative AI

Hcltech

2 roles

Software Engineer

Jul 2024 – Feb 2026 · 1 yr 7 mos · Lucknow, Uttar Pradesh, India

◦ Generative AI & Backend Engineer: Designed and developed production-grade Generative AI applications using LLMs, improving enterprise document understanding and decision-making workflows. Engineered scalable backend
microservices, cutting API response time by 25% and boosting system efficiency by 30%.
◦ LLM-Powered Requirement Engineering:
∗ : Built LLM-driven systems that convert Business Requirement Documents (BRDs) and contextual inputs into Features, Epics, and User Stories, accelerating Agile planning and reducing manual effort.
∗ : Implemented prompt engineering and multi-step orchestration using LangChain, generating structured outputs suitable for JIRA integration.
∗ : Developed Streamlit-based GenAI applications allowing users to upload documents and generate AI-driven insights in real time.
◦ Retrieval-Augmented Generation (RAG): Developed RAG pipelines using historical ITSM tickets and KEDB articles, significantly improving response relevance and accuracy for enterprise support use cases. Integrated PostgreSQL for metadata, embeddings, and conversation persistence, handling 5,0000+ requests per day.
◦ Cloud Deployment & Optimization: Engineered FastAPI-based backend services for GenAI workflows and deployed them as 24/7 cloud-native applications on GCP. Optimized inference workflows and payload processing, enhancing system response time by 40%.
◦ Agile Development: Collaborated in Agile teams (Scrum/Kanban), working closely with business stakeholders to deliver features 30% faster while aligning AI outputs with enterprise standards.

Python (Programming Language)Artificial Intelligence (AI)Generative AIBackend Engineering

Graduate Engineering Trainee

Mar 2023 – Jul 2024 · 1 yr 4 mos · Lucknow, Uttar Pradesh, India

Started my journey at HCLTech with specialized training in PL/SQL and database management.
Managed and maintained PL/SQL queries for the Subway project, ensuring high availability and reliability for critical business data.
Gained hands-on expertise in SQL performance tuning and database architecture through rigorous training and live project application.
Reduced downtime by proactively identifying query bottlenecks and assisting in the maintenance of legacy codebases.

PL/SQLDatabase Management System (DBMS)Database Management